Rule-Based Opinion Mining is a rule-based natural language processing approach that identifies and classifies subjective information in text by applying predefined linguistic patterns and heuristic rules rather than machine-learned models.
147
Publications
13.3K
Citations
399
Authors
192
Institutions
Publications per year
2017–2026
66
Parents
Publications
147
Mining product reputations on the Web
Satoshi Morinaga, Kenji Yamanishi, Kenji Tateishi et al. · 2002 · 413 citations
Finding unusual review patterns using unexpected rules
Nitin Jindal, Bing Liu, Ee‐Peng Lim · 2010 · 344 citations · Full text
Mining comparative sentences and relations
Nitin Jindal, Bing Liu · 2006 · 338 citations
1–5 of 147
Authors
399
- BL
4
h-index
- AK
3
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- TA
3
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- MA
3
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- YC
3
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1–5 of 399
Institutions
192
University of Illinois Chicago
Chicago, United States
6 h-index
9 publications
2K citations
King Abdulaziz University
Jeddah, Saudi Arabia
5 h-index
6 publications
117 citations
Universiti Sains Malaysia
George Town, Malaysia
4 h-index
9 publications
221 citations
Jamia Millia Islamia
New Delhi, India
4 h-index
5 publications
131 citations
University of Pittsburgh
Pittsburgh, United States
3 h-index
4 publications
222 citations
Lviv Polytechnic National University
Lviv, Ukraine
3 h-index
5 publications
88 citations
Institute of Communication and Computer Systems
Zografos, Greece
2 h-index
8 publications
252 citations
University of Portsmouth
Portsmouth, United Kingdom
2 h-index
5 publications
341 citations
1–8 of 192
Venues
- IEEE Access
6 publications · 249 citations
6
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- Expert Systems with Applications
4 publications · 451 citations
4
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- Knowledge-Based Systems
3 publications · 474 citations
3
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- International Journal of Computer Applications
3 publications · 80 citations
3
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- Procedia Computer Science
3 publications · 110 citations
3
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1–5